refactoring

dhp-workflows/dhp-propagation/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/PrepareResultOrcidAssociationStep1.java

@@ -1,38 +1,38 @@
 package eu.dnetlib.dhp.orcidtoresultfromsemrel;
 
+import static eu.dnetlib.dhp.PropagationConstant.*;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
+
 import com.fasterxml.jackson.databind.ObjectMapper;
 import com.google.gson.Gson;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.schema.oaf.Relation;
 import eu.dnetlib.dhp.schema.oaf.Result;
+import java.util.Arrays;
+import java.util.List;
 import org.apache.commons.io.IOUtils;
 import org.apache.hadoop.io.compress.GzipCodec;
 import org.apache.spark.SparkConf;
 import org.apache.spark.api.java.JavaSparkContext;
 import org.apache.spark.sql.Dataset;
 import org.apache.spark.sql.Encoders;
-import org.apache.spark.sql.SaveMode;
 import org.apache.spark.sql.SparkSession;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-import java.util.Arrays;
-import java.util.List;
-
-import static eu.dnetlib.dhp.PropagationConstant.*;
-import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
-
 public class PrepareResultOrcidAssociationStep1 {
-    private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociationStep1.class);
+    private static final Logger log =
+            LoggerFactory.getLogger(PrepareResultOrcidAssociationStep1.class);
 
     private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
 
     public static void main(String[] args) throws Exception {
-        String jsonConfiguration = IOUtils.toString(SparkOrcidToResultFromSemRelJob3.class
+        String jsonConfiguration =
-                .getResourceAsStream("/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters.json"));
+                IOUtils.toString(
+                        SparkOrcidToResultFromSemRelJob3.class.getResourceAsStream(
+                                "/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters.json"));
 
-        final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+        final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
-                jsonConfiguration);
 
         parser.parseArgument(args);
 
@@ -51,33 +51,44 @@ public class PrepareResultOrcidAssociationStep1 {
         final List<String> allowedsemrel = Arrays.asList(parser.get("allowedsemrels").split(";"));
         log.info("allowedSemRel: {}", new Gson().toJson(allowedsemrel));
 
-        final String resultType = resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
+        final String resultType =
+                resultClassName.substring(resultClassName.lastIndexOf(".") + 1).toLowerCase();
         log.info("resultType: {}", resultType);
 
-
+        Class<? extends Result> resultClazz =
-        Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
+                (Class<? extends Result>) Class.forName(resultClassName);
 
         SparkConf conf = new SparkConf();
         conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
 
-        runWithSparkHiveSession(conf, isSparkSessionManaged,
+        runWithSparkHiveSession(
+                conf,
+                isSparkSessionManaged,
                 spark -> {
                     if (isTest(parser)) {
                         removeOutputDir(spark, outputPath);
                     }
-                    prepareInfo(spark,  inputPath, outputPath, resultClazz, resultType, allowedsemrel);
+                    prepareInfo(
+                            spark, inputPath, outputPath, resultClazz, resultType, allowedsemrel);
                 });
     }
 
-    private static <R extends Result> void prepareInfo(SparkSession spark,  String inputPath,
+    private static <R extends Result> void prepareInfo(
-                                                       String outputPath, Class<R> resultClazz,
+            SparkSession spark,
-                                                       String resultType,
+            String inputPath,
-                                                       List<String> allowedsemrel) {
+            String outputPath,
+            Class<R> resultClazz,
+            String resultType,
+            List<String> allowedsemrel) {
 
-        //read the relation table and the table related to the result it is using
+        // read the relation table and the table related to the result it is using
         final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
-        org.apache.spark.sql.Dataset<Relation> relation = spark.createDataset(sc.textFile(inputPath + "/relation")
+        org.apache.spark.sql.Dataset<Relation> relation =
-                .map(item -> OBJECT_MAPPER.readValue(item, Relation.class)).rdd(), Encoders.bean(Relation.class));
+                spark.createDataset(
+                        sc.textFile(inputPath + "/relation")
+                                .map(item -> OBJECT_MAPPER.readValue(item, Relation.class))
+                                .rdd(),
+                        Encoders.bean(Relation.class));
         relation.createOrReplaceTempView("relation");
 
         log.info("Reading Graph table from: {}", inputPath + "/" + resultType);
@@ -86,38 +97,38 @@ public class PrepareResultOrcidAssociationStep1 {
         result.createOrReplaceTempView("result");
 
         getPossibleResultOrcidAssociation(spark, allowedsemrel, outputPath + "/" + resultType);
-
     }
 
-    private static void getPossibleResultOrcidAssociation(SparkSession spark, List<String> allowedsemrel, String outputPath){
+    private static void getPossibleResultOrcidAssociation(
-        String query = " select target resultId, author authorList" +
+            SparkSession spark, List<String> allowedsemrel, String outputPath) {
-                " from (select id, collect_set(named_struct('name', name, 'surname', surname, 'fullname', fullname, 'orcid', orcid)) author " +
+        String query =
-                " from ( " +
+                " select target resultId, author authorList"
-                " select id, MyT.fullname, MyT.name, MyT.surname, MyP.value orcid " +
+                        + " from (select id, collect_set(named_struct('name', name, 'surname', surname, 'fullname', fullname, 'orcid', orcid)) author "
-                " from result " +
+                        + " from ( "
-                " lateral view explode (author) a as MyT " +
+                        + " select id, MyT.fullname, MyT.name, MyT.surname, MyP.value orcid "
-                " lateral view explode (MyT.pid) p as MyP " +
+                        + " from result "
-                " where MyP.qualifier.classid = 'ORCID') tmp " +
+                        + " lateral view explode (author) a as MyT "
-                " group by id) r_t " +
+                        + " lateral view explode (MyT.pid) p as MyP "
-                " join (" +
+                        + " where MyP.qualifier.classid = 'ORCID') tmp "
-                " select source, target " +
+                        + " group by id) r_t "
-                " from relation " +
+                        + " join ("
-                " where datainfo.deletedbyinference = false " +
+                        + " select source, target "
-                getConstraintList(" relclass = '" ,allowedsemrel) + ") rel_rel " +
+                        + " from relation "
-                " on source = id";
+                        + " where datainfo.deletedbyinference = false "
+                        + getConstraintList(" relclass = '", allowedsemrel)
+                        + ") rel_rel "
+                        + " on source = id";
 
         spark.sql(query)
                 .as(Encoders.bean(ResultOrcidList.class))
                 .toJavaRDD()
                 .map(r -> OBJECT_MAPPER.writeValueAsString(r))
                 .saveAsTextFile(outputPath, GzipCodec.class);
-//                .toJSON()
+        //                .toJSON()
-//        .write()
+        //        .write()
-//        .mode(SaveMode.Append)
+        //        .mode(SaveMode.Append)
-//        .option("compression","gzip")
+        //        .option("compression","gzip")
-//        .text(outputPath)
+        //        .text(outputPath)
-//        ;
+        //        ;
     }
-
-
 }

dhp-workflows/dhp-propagation/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/PrepareResultOrcidAssociationStep2.java

@@ -1,7 +1,12 @@
 package eu.dnetlib.dhp.orcidtoresultfromsemrel;
 
+import static eu.dnetlib.dhp.PropagationConstant.*;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
+
 import com.fasterxml.jackson.databind.ObjectMapper;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import java.util.HashSet;
+import java.util.Set;
 import org.apache.commons.io.IOUtils;
 import org.apache.hadoop.io.compress.GzipCodec;
 import org.apache.spark.SparkConf;
@@ -9,22 +14,20 @@ import org.apache.spark.sql.*;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 import scala.Tuple2;
-import java.util.HashSet;
-import java.util.Set;
-import static eu.dnetlib.dhp.PropagationConstant.*;
-import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 
 public class PrepareResultOrcidAssociationStep2 {
-    private static final Logger log = LoggerFactory.getLogger(PrepareResultOrcidAssociationStep2.class);
+    private static final Logger log =
+            LoggerFactory.getLogger(PrepareResultOrcidAssociationStep2.class);
 
     private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
 
     public static void main(String[] args) throws Exception {
-        String jsonConfiguration = IOUtils.toString(PrepareResultOrcidAssociationStep2.class
+        String jsonConfiguration =
-                .getResourceAsStream("/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters2.json"));
+                IOUtils.toString(
+                        PrepareResultOrcidAssociationStep2.class.getResourceAsStream(
+                                "/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_prepareorcidtoresult_parameters2.json"));
 
-        final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+        final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
-                jsonConfiguration);
 
         parser.parseArgument(args);
 
@@ -39,56 +42,60 @@ public class PrepareResultOrcidAssociationStep2 {
 
         SparkConf conf = new SparkConf();
 
-        runWithSparkSession(conf, isSparkSessionManaged,
+        runWithSparkSession(
+                conf,
+                isSparkSessionManaged,
                 spark -> {
                     if (isTest(parser)) {
                         removeOutputDir(spark, outputPath);
                     }
-                    mergeInfo(spark,  inputPath, outputPath);
+                    mergeInfo(spark, inputPath, outputPath);
                 });
     }
 
     private static void mergeInfo(SparkSession spark, String inputPath, String outputPath) {
 
-        Dataset<ResultOrcidList> resultOrcidAssoc = readAssocResultOrcidList(spark, inputPath + "/publication")
+        Dataset<ResultOrcidList> resultOrcidAssoc =
-                .union(readAssocResultOrcidList(spark, inputPath + "/dataset"))
+                readAssocResultOrcidList(spark, inputPath + "/publication")
-                .union(readAssocResultOrcidList(spark, inputPath + "/otherresearchproduct"))
+                        .union(readAssocResultOrcidList(spark, inputPath + "/dataset"))
-                .union(readAssocResultOrcidList(spark, inputPath + "/software"));
+                        .union(readAssocResultOrcidList(spark, inputPath + "/otherresearchproduct"))
+                        .union(readAssocResultOrcidList(spark, inputPath + "/software"));
 
         resultOrcidAssoc
                 .toJavaRDD()
                 .mapToPair(r -> new Tuple2<>(r.getResultId(), r))
-                .reduceByKey((a, b) -> {
+                .reduceByKey(
-                    if (a == null) {
+                        (a, b) -> {
-                        return b;
+                            if (a == null) {
-                    }
+                                return b;
-                    if (b == null) {
+                            }
-                        return a;
+                            if (b == null) {
-                    }
+                                return a;
-                    Set<String> orcid_set = new HashSet<>();
+                            }
-                    a.getAuthorList().stream().forEach(aa -> orcid_set.add(aa.getOrcid()));
+                            Set<String> orcid_set = new HashSet<>();
+                            a.getAuthorList().stream().forEach(aa -> orcid_set.add(aa.getOrcid()));
 
-                    b.getAuthorList().stream().forEach(aa -> {
+                            b.getAuthorList().stream()
-                        if (!orcid_set.contains(aa.getOrcid())) {
+                                    .forEach(
-                            a.getAuthorList().add(aa);
+                                            aa -> {
-                            orcid_set.add(aa.getOrcid());
+                                                if (!orcid_set.contains(aa.getOrcid())) {
-                        }
+                                                    a.getAuthorList().add(aa);
-                    });
+                                                    orcid_set.add(aa.getOrcid());
-                    return a;
+                                                }
-                })
+                                            });
+                            return a;
+                        })
                 .map(c -> c._2())
                 .map(r -> OBJECT_MAPPER.writeValueAsString(r))
                 .saveAsTextFile(outputPath, GzipCodec.class);
     }
 
-    private static Dataset<ResultOrcidList> readAssocResultOrcidList(SparkSession spark, String relationPath) {
+    private static Dataset<ResultOrcidList> readAssocResultOrcidList(
-        return spark
+            SparkSession spark, String relationPath) {
-                .read()
+        return spark.read()
                 .textFile(relationPath)
-                .map(value -> OBJECT_MAPPER.readValue(value, ResultOrcidList.class), Encoders.bean(ResultOrcidList.class));
+                .map(
+                        value -> OBJECT_MAPPER.readValue(value, ResultOrcidList.class),
+                        Encoders.bean(ResultOrcidList.class));
     }
-
-
-
-
 }

dhp-workflows/dhp-propagation/src/main/java/eu/dnetlib/dhp/orcidtoresultfromsemrel/SparkOrcidToResultFromSemRelJob3.java

@@ -1,10 +1,15 @@
 package eu.dnetlib.dhp.orcidtoresultfromsemrel;
 
+import static eu.dnetlib.dhp.PropagationConstant.*;
+import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
+
 import com.fasterxml.jackson.databind.ObjectMapper;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.schema.oaf.Author;
 import eu.dnetlib.dhp.schema.oaf.Result;
 import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
+import java.util.List;
+import java.util.Optional;
 import org.apache.commons.io.IOUtils;
 import org.apache.commons.lang3.StringUtils;
 import org.apache.spark.SparkConf;
@@ -15,30 +20,25 @@ import org.apache.spark.sql.SparkSession;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-import java.util.List;
-import java.util.Optional;
-
-import static eu.dnetlib.dhp.PropagationConstant.*;
-import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
-
 public class SparkOrcidToResultFromSemRelJob3 {
-    private static final Logger log = LoggerFactory.getLogger(SparkOrcidToResultFromSemRelJob3.class);
+    private static final Logger log =
+            LoggerFactory.getLogger(SparkOrcidToResultFromSemRelJob3.class);
 
     private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
 
     public static void main(String[] args) throws Exception {
-        String jsonConfiguration = IOUtils.toString(SparkOrcidToResultFromSemRelJob3.class
+        String jsonConfiguration =
-                .getResourceAsStream("/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_orcidtoresult_parameters.json"));
+                IOUtils.toString(
+                        SparkOrcidToResultFromSemRelJob3.class.getResourceAsStream(
+                                "/eu/dnetlib/dhp/orcidtoresultfromsemrel/input_orcidtoresult_parameters.json"));
 
-        final ArgumentApplicationParser parser = new ArgumentApplicationParser(
+        final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
-                jsonConfiguration);
 
         parser.parseArgument(args);
 
         Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
         log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
 
-
         final String inputPath = parser.get("sourcePath");
         log.info("inputPath: {}", inputPath);
 
@@ -51,96 +51,116 @@ public class SparkOrcidToResultFromSemRelJob3 {
         final String resultClassName = parser.get("resultTableName");
         log.info("resultTableName: {}", resultClassName);
 
-        final Boolean saveGraph = Optional
+        final Boolean saveGraph =
-                .ofNullable(parser.get("saveGraph"))
+                Optional.ofNullable(parser.get("saveGraph"))
-                .map(Boolean::valueOf)
+                        .map(Boolean::valueOf)
-                .orElse(Boolean.TRUE);
+                        .orElse(Boolean.TRUE);
         log.info("saveGraph: {}", saveGraph);
 
-        Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
+        Class<? extends Result> resultClazz =
+                (Class<? extends Result>) Class.forName(resultClassName);
 
         SparkConf conf = new SparkConf();
         conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
 
-        runWithSparkHiveSession(conf, isSparkSessionManaged,
+        runWithSparkHiveSession(
+                conf,
+                isSparkSessionManaged,
                 spark -> {
-                    if(isTest(parser)) {
+                    if (isTest(parser)) {
                         removeOutputDir(spark, outputPath);
                     }
-                    if(saveGraph)
+                    if (saveGraph)
                         execPropagation(spark, possibleUpdates, inputPath, outputPath, resultClazz);
                 });
-
     }
 
-    private static <R extends Result> void execPropagation(SparkSession spark, String possibleUpdatesPath, String inputPath,
+    private static <R extends Result> void execPropagation(
-                                                           String outputPath, Class<R> resultClazz ) {
+            SparkSession spark,
+            String possibleUpdatesPath,
+            String inputPath,
+            String outputPath,
+            Class<R> resultClazz) {
 
-        //read possible updates (resultId and list of possible orcid to add
+        // read possible updates (resultId and list of possible orcid to add
-        Dataset<ResultOrcidList> possible_updates = readAssocResultOrcidList(spark, possibleUpdatesPath);
+        Dataset<ResultOrcidList> possible_updates =
-        //read the result we have been considering
+                readAssocResultOrcidList(spark, possibleUpdatesPath);
+        // read the result we have been considering
         Dataset<R> result = readPathEntity(spark, inputPath, resultClazz);
-        //make join result left_outer with possible updates
+        // make join result left_outer with possible updates
 
-        result.joinWith(possible_updates, result.col("id").equalTo(possible_updates.col("resultId")),
+        result.joinWith(
-                    "left_outer")
+                        possible_updates,
-                    .map(value -> {
+                        result.col("id").equalTo(possible_updates.col("resultId")),
-                        R ret = value._1();
+                        "left_outer")
-                        Optional<ResultOrcidList> rol = Optional.ofNullable(value._2());
+                .map(
-                        if(rol.isPresent()) {
+                        value -> {
-                            List<Author> toenrich_author = ret.getAuthor();
+                            R ret = value._1();
-                            List<AutoritativeAuthor> autoritativeAuthors = rol.get().getAuthorList();
+                            Optional<ResultOrcidList> rol = Optional.ofNullable(value._2());
-                            for(Author author: toenrich_author){
+                            if (rol.isPresent()) {
-                                if (!containsAllowedPid(author)){
+                                List<Author> toenrich_author = ret.getAuthor();
-                                    enrichAuthor(author, autoritativeAuthors);
+                                List<AutoritativeAuthor> autoritativeAuthors =
+                                        rol.get().getAuthorList();
+                                for (Author author : toenrich_author) {
+                                    if (!containsAllowedPid(author)) {
+                                        enrichAuthor(author, autoritativeAuthors);
+                                    }
                                 }
                             }
-                        }
-
-                        return ret;
-                    }, Encoders.bean(resultClazz))
-                    .toJSON()
-                    .write()
-                    .mode(SaveMode.Overwrite)
-                    .option("compression","gzip")
-                    .text(outputPath);
-
 
+                            return ret;
+                        },
+                        Encoders.bean(resultClazz))
+                .toJSON()
+                .write()
+                .mode(SaveMode.Overwrite)
+                .option("compression", "gzip")
+                .text(outputPath);
     }
 
-    private static Dataset<ResultOrcidList> readAssocResultOrcidList(SparkSession spark, String relationPath) {
+    private static Dataset<ResultOrcidList> readAssocResultOrcidList(
-        return spark
+            SparkSession spark, String relationPath) {
-                .read()
+        return spark.read()
                 .textFile(relationPath)
-                .map(value -> OBJECT_MAPPER.readValue(value, ResultOrcidList.class), Encoders.bean(ResultOrcidList.class));
+                .map(
+                        value -> OBJECT_MAPPER.readValue(value, ResultOrcidList.class),
+                        Encoders.bean(ResultOrcidList.class));
     }
 
-    private static void enrichAuthor(Author a, List<AutoritativeAuthor> au){
+    private static void enrichAuthor(Author a, List<AutoritativeAuthor> au) {
-        for (AutoritativeAuthor aa: au){
+        for (AutoritativeAuthor aa : au) {
-            if(enrichAuthor(aa, a)){
+            if (enrichAuthor(aa, a)) {
                 return;
             }
         }
-
     }
 
-
-
     private static boolean enrichAuthor(AutoritativeAuthor autoritative_author, Author author) {
         boolean toaddpid = false;
 
         if (StringUtils.isNoneEmpty(autoritative_author.getSurname())) {
             if (StringUtils.isNoneEmpty(author.getSurname())) {
-                if (autoritative_author.getSurname().trim().equalsIgnoreCase(author.getSurname().trim())) {
+                if (autoritative_author
+                        .getSurname()
+                        .trim()
+                        .equalsIgnoreCase(author.getSurname().trim())) {
 
-                    //have the same surname. Check the name
+                    // have the same surname. Check the name
                     if (StringUtils.isNoneEmpty(autoritative_author.getName())) {
                         if (StringUtils.isNoneEmpty(author.getName())) {
-                            if (autoritative_author.getName().trim().equalsIgnoreCase(author.getName().trim())) {
+                            if (autoritative_author
+                                    .getName()
+                                    .trim()
+                                    .equalsIgnoreCase(author.getName().trim())) {
                                 toaddpid = true;
                             }
-                            //they could be differently written (i.e. only the initials of the name in one of the two
+                            // they could be differently written (i.e. only the initials of the name
-                            if (autoritative_author.getName().trim().substring(0, 0).equalsIgnoreCase(author.getName().trim().substring(0, 0))) {
+                            // in one of the two
+                            if (autoritative_author
+                                    .getName()
+                                    .trim()
+                                    .substring(0, 0)
+                                    .equalsIgnoreCase(author.getName().trim().substring(0, 0))) {
                                 toaddpid = true;
                             }
                         }
@@ -148,21 +168,20 @@ public class SparkOrcidToResultFromSemRelJob3 {
                 }
             }
         }
-        if (toaddpid){
+        if (toaddpid) {
             StructuredProperty p = new StructuredProperty();
             p.setValue(autoritative_author.getOrcid());
-            p.setQualifier(getQualifier(PROPAGATION_AUTHOR_PID, PROPAGATION_AUTHOR_PID ));
+            p.setQualifier(getQualifier(PROPAGATION_AUTHOR_PID, PROPAGATION_AUTHOR_PID));
-            p.setDataInfo(getDataInfo(PROPAGATION_DATA_INFO_TYPE, PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID, PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME));
+            p.setDataInfo(
+                    getDataInfo(
+                            PROPAGATION_DATA_INFO_TYPE,
+                            PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_ID,
+                            PROPAGATION_ORCID_TO_RESULT_FROM_SEM_REL_CLASS_NAME));
             author.addPid(p);
-
         }
         return toaddpid;
-
     }
 
-
-
-
     private static boolean containsAllowedPid(Author a) {
         for (StructuredProperty pid : a.getPid()) {
             if (PROPAGATION_AUTHOR_PID.equals(pid.getQualifier().getClassid())) {
@@ -171,5 +190,4 @@ public class SparkOrcidToResultFromSemRelJob3 {
         }
         return false;
     }
-
 }